Overview
NotebookLlaMa is an open-source NotebookLM-style application for document understanding and interactive Q&A. It integrates with LlamaCloud to provide indexing and retrieval, supports configurable pipelines, and can be deployed across regions.
Key Features
- Open-source (MIT) with an active contributor community.
- LlamaCloud integration for managed vector indexing and retrieval.
- Interactive setup wizard and scripts to create extraction agents and index pipelines.
Use Cases
- Document Q&A and knowledge exploration.
- Research, demos, and teaching as an open NotebookLM alternative.
- Private or cloud deployments with Postgres and observability components.
Technical Details
- Implemented in Python with a Streamlit frontend.
- Supports multiple embedding models and regional configuration for compliance and latency.
- Provides scripts to bootstrap agents and pipelines for fast setup.